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3.01k
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16
1.27k
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16
1.06k
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[[[17, 20], [23, 23]]]
[["English", "is", "shown", "to", "be", "trans-context-free", "on", "the", "basis", "of", "coordinations", "of", "the", "respectively", "type", "that", "involve", "strictly", "syntactic", "cross-serial", "agreement", "."], ["The", "agreement", "in", "question", "involves", "number", "in", "nouns", "and", "reflexive", "...
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[[], [[29, 29, 31, 32, "CONJUNCTION"], [48, 49, 51, 51, "FEATURE-OF"], [54, 54, 51, 51, "HYPONYM-OF"]], []]
J87-1003
train
[{"sentence": "English is shown to be trans-context-free on the basis of coordinations of the respectively type that involve strictly syntactic cross-serial agreement .", "entities": [{"text": "English", "type": "Material"}, {"text": "coordinations", "type": "OtherScientificTerm"}, {"text": "strictly syntactic cross-se...
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CVPR_2003_18_abs
train
[{"sentence": "In this paper , a novel method to learn the intrinsic object structure for robust visual tracking is proposed .", "entities": [{"text": "method", "type": "Method"}, {"text": "intrinsic object structure", "type": "OtherScientificTerm"}, {"text": "robust visual tracking", "type": "Task"}], "relations": [{"...
[[[154, 154], [214, 214]], [[40, 44], [85, 85], [170, 170]], [[15, 21], [150, 151], [165, 166], [206, 207]], [[95, 95], [111, 111]]]
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INTERSPEECH_2013_31_abs
train
[{"sentence": "In this paper , we present a digital signal processor -LRB- DSP -RRB- implementation of real-time statistical voice conversion -LRB- VC -RRB- for silent speech enhancement and electrolaryngeal speech enhancement .", "entities": [{"text": "digital signal processor -LRB- DSP -RRB- implementation", "type": ...
[[[3, 3], [110, 110]]]
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I05-5008
train
[{"sentence": "We propose a method that automatically generates paraphrase sets from seed sentences to be used as reference sets in objective machine translation evaluation measures like BLEU and NIST .", "entities": [{"text": "method", "type": "Generic"}, {"text": "paraphrase", "type": "OtherScientificTerm"}, {"text":...
[[[35, 35], [69, 69]]]
[["Graph", "unification", "remains", "the", "most", "expensive", "part", "of", "unification-based", "grammar", "parsing", "."], ["We", "focus", "on", "one", "speed-up", "element", "in", "the", "design", "of", "unification", "algorithms", ":", "avoidance", "of", "copying", "of", "unmodified", "subgraphs", "."], ["We", "...
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C92-2068
train
[{"sentence": "Graph unification remains the most expensive part of unification-based grammar parsing .", "entities": [{"text": "Graph unification", "type": "Task"}, {"text": "unification-based grammar parsing", "type": "Task"}], "relations": [{"head": "Graph unification", "tail": "unification-based grammar parsing", "...
[[[7, 7], [86, 86]]]
[["We", "describe", "a", "novel", "technique", "and", "implemented", "system", "for", "constructing", "a", "subcategorization", "dictionary", "from", "textual", "corpora", "."], ["Each", "dictionary", "entry", "encodes", "the", "relative", "frequency", "of", "occurrence", "of", "a", "comprehensive", "set", "of", "subca...
[[[7, 7, "Generic"], [11, 12, "OtherScientificTerm"], [14, 15, "Material"]], [[22, 25, "OtherScientificTerm"]], [], [[81, 82, "OtherScientificTerm"], [86, 86, "Generic"], [89, 89, "Metric"], [92, 92, "Method"]]]
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A97-1052
train
[{"sentence": "We describe a novel technique and implemented system for constructing a subcategorization dictionary from textual corpora .", "entities": [{"text": "system", "type": "Generic"}, {"text": "subcategorization dictionary", "type": "OtherScientificTerm"}, {"text": "textual corpora", "type": "Material"}], "rel...
[[[122, 124], [175, 176], [185, 185]], [[26, 28], [76, 76]], [[49, 51], [55, 55], [65, 65]], [[112, 115], [127, 127]]]
[["The", "introduction", "of", "prior", "knowledge", "has", "greatly", "enhanced", "numerous", "purely", "low-level", "driven", "image", "processing", "algorithms", "."], ["In", "this", "work", ",", "we", "focus", "on", "the", "problem", "of", "non-rigid", "image", "registration", "."], ["A", "number", "of", "powerful"...
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[[], [], [[49, 51, 34, 35, "HYPONYM-OF"]], [[69, 70, 65, 65, "FEATURE-OF"]], [], [[106, 107, 122, 124, "USED-FOR"], [112, 115, 122, 124, "USED-FOR"], [118, 120, 112, 115, "FEATURE-OF"]], [[132, 134, 127, 127, "USED-FOR"], [132, 134, 139, 141, "USED-FOR"], [148, 150, 139, 141, "USED-FOR"]], [], [[175, 176, 181, 183, "US...
CVPR_2006_21_abs
train
[{"sentence": "The introduction of prior knowledge has greatly enhanced numerous purely low-level driven image processing algorithms .", "entities": [{"text": "prior knowledge", "type": "OtherScientificTerm"}, {"text": "low-level driven image processing algorithms", "type": "Method"}], "relations": []}, {"sentence": "I...
[[[73, 74], [125, 125]]]
[["There", "is", "an", "increased", "interest", "in", "the", "efficient", "creation", "of", "city", "models", ",", "be", "it", "virtual", "or", "as-built", "."], ["We", "present", "a", "method", "for", "synthesizing", "complex", ",", "photo-realistic", "facade", "images", ",", "from", "a", "single", "example", "."], ["...
[[[8, 11, "Task"]], [[22, 22, "Generic"], [24, 29, "Task"]], [[43, 44, "Method"], [47, 47, "OtherScientificTerm"]], [[54, 54, "OtherScientificTerm"], [61, 62, "OtherScientificTerm"], [68, 70, "OtherScientificTerm"]], [[73, 74, "Generic"], [78, 78, "OtherScientificTerm"], [82, 83, "OtherScientificTerm"]], [[106, 108, "G...
[[], [[22, 22, 24, 29, "USED-FOR"]], [[47, 47, 43, 44, "USED-FOR"]], [[68, 70, 61, 62, "FEATURE-OF"]], [[73, 74, 78, 78, "USED-FOR"], [73, 74, 82, 83, "USED-FOR"]], [[106, 108, 125, 125, "EVALUATE-FOR"]]]
ICCV_2013_36_abs
train
[{"sentence": "There is an increased interest in the efficient creation of city models , be it virtual or as-built .", "entities": [{"text": "creation of city models", "type": "Task"}], "relations": []}, {"sentence": "We present a method for synthesizing complex , photo-realistic facade images , from a single example ....
[[[9, 9], [11, 11], [37, 37], [81, 82], [84, 84]]]
[["We", "introduce", "a", "new", "interactive", "corpus", "exploration", "tool", "called", "InfoMagnets", "."], ["InfoMagnets", "aims", "at", "making", "exploratory", "corpus", "analysis", "accessible", "to", "researchers", "who", "are", "not", "experts", "in", "text", "mining", "."], ["As", "evidence", "of", "its", "u...
[[[4, 7, "Method"], [9, 9, "Method"]], [[11, 11, "Method"], [15, 17, "Task"], [26, 27, "Task"]], [[37, 37, "Generic"], [57, 57, "Generic"], [59, 60, "Material"], [69, 70, "Material"]], [[81, 82, "Method"], [84, 84, "Generic"], [94, 95, "Task"]]]
[[[9, 9, 4, 7, "HYPONYM-OF"]], [[11, 11, 15, 17, "USED-FOR"]], [[37, 37, 57, 57, "USED-FOR"], [59, 60, 57, 57, "HYPONYM-OF"], [59, 60, 69, 70, "CONJUNCTION"], [69, 70, 57, 57, "HYPONYM-OF"]], [[81, 82, 94, 95, "USED-FOR"]]]
N06-4001
train
[{"sentence": "We introduce a new interactive corpus exploration tool called InfoMagnets .", "entities": [{"text": "interactive corpus exploration tool", "type": "Method"}, {"text": "InfoMagnets", "type": "Method"}], "relations": [{"head": "InfoMagnets", "tail": "interactive corpus exploration tool", "label": "HYPONYM-...
[]
[["Sources", "of", "training", "data", "suitable", "for", "language", "modeling", "of", "conversational", "speech", "are", "limited", "."], ["In", "this", "paper", ",", "we", "show", "how", "training", "data", "can", "be", "supplemented", "with", "text", "from", "the", "web", "filtered", "to", "match", "the", "style", ...
[[[6, 7, "Method"], [9, 10, "Material"]], [[41, 42, "Task"], [60, 63, "Method"]]]
[[[9, 10, 6, 7, "USED-FOR"]], [[60, 63, 41, 42, "USED-FOR"]]]
N03-2003
train
[{"sentence": "Sources of training data suitable for language modeling of conversational speech are limited .", "entities": [{"text": "language modeling", "type": "Method"}, {"text": "conversational speech", "type": "Material"}], "relations": [{"head": "conversational speech", "tail": "language modeling", "label": "USE...
[[[18, 18], [36, 36], [60, 60], [86, 86]], [[3, 3], [12, 12]]]
[["We", "present", "a", "method", "for", "detecting", "3D", "objects", "using", "multi-modalities", "."], ["While", "it", "is", "generic", ",", "we", "demonstrate", "it", "on", "the", "combination", "of", "an", "image", "and", "a", "dense", "depth", "map", "which", "give", "complementary", "object", "information", "."]...
[[[3, 3, "Generic"], [5, 7, "Task"], [9, 9, "OtherScientificTerm"]], [[12, 12, "Generic"], [18, 18, "Generic"], [24, 24, "OtherScientificTerm"], [27, 29, "OtherScientificTerm"], [32, 34, "OtherScientificTerm"]], [[36, 36, "Generic"], [49, 52, "OtherScientificTerm"], [57, 58, "OtherScientificTerm"]], [[60, 60, "Generic"...
[[[3, 3, 5, 7, "USED-FOR"], [9, 9, 3, 3, "USED-FOR"]], [[12, 12, 18, 18, "USED-FOR"], [24, 24, 18, 18, "USED-FOR"], [24, 24, 27, 29, "CONJUNCTION"], [27, 29, 18, 18, "USED-FOR"], [32, 34, 27, 29, "FEATURE-OF"]], [], [[68, 68, 73, 73, "USED-FOR"], [86, 86, 89, 90, "COMPARE"], [86, 86, 92, 93, "USED-FOR"], [89, 90, 92, 9...
ICCV_2011_47_abs
train
[{"sentence": "We present a method for detecting 3D objects using multi-modalities .", "entities": [{"text": "method", "type": "Generic"}, {"text": "detecting 3D objects", "type": "Task"}, {"text": "multi-modalities", "type": "OtherScientificTerm"}], "relations": [{"head": "method", "tail": "detecting 3D objects", "lab...
[[[1, 6], [39, 39]], [[71, 73], [90, 90]], [[103, 110], [115, 115]]]
[["The", "compact", "description", "of", "a", "video", "sequence", "through", "a", "single", "image", "map", "and", "a", "dominant", "motion", "has", "applications", "in", "several", "domains", ",", "including", "video", "browsing", "and", "retrieval", ",", "compression", ",", "mosaicing", ",", "and", "visual", "summar...
[[[1, 6, "Task"], [10, 11, "OtherScientificTerm"], [14, 15, "OtherScientificTerm"], [20, 20, "Generic"], [23, 26, "Task"], [28, 28, "Task"], [30, 30, "Task"], [33, 34, "Task"]], [[39, 39, "Generic"], [59, 59, "Generic"], [71, 73, "Method"]], [[83, 86, "OtherScientificTerm"], [85, 86, "OtherScientificTerm"], [90, 90, "G...
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CVPR_1998_10_abs
train
[{"sentence": "The compact description of a video sequence through a single image map and a dominant motion has applications in several domains , including video browsing and retrieval , compression , mosaicing , and visual summarization .", "entities": [{"text": "compact description of a video sequence", "type": "Task...
[[[60, 64], [166, 166]], [[1, 2], [50, 51], [68, 69]]]
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IJCAI_2016_420_abs
train
[{"sentence": "In cross-domain learning , there is a more challenging problem that the domain divergence involves more than one dominant factors , e.g. , different viewpoints , various resolutions and changing illuminations .", "entities": [{"text": "cross-domain learning", "type": "Task"}, {"text": "domain divergence"...
[[[21, 23], [83, 84], [152, 152]], [[43, 45], [57, 57]], [[61, 63], [103, 104]]]
[["In", "this", "paper", ",", "we", "aim", "to", "automatically", "render", "aging", "faces", "in", "a", "personalized", "way", "."], ["Basically", ",", "a", "set", "of", "age-group", "specific", "dictionaries", "are", "learned", ",", "where", "the", "dictionary", "bases", "corresponding", "to", "the", "same", "index",...
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[[], [[29, 30, 21, 23, "PART-OF"], [53, 54, 61, 63, "USED-FOR"], [57, 57, 53, 54, "USED-FOR"]], [], [[96, 96, 91, 93, "HYPONYM-OF"]], [], [[143, 146, 152, 152, "USED-FOR"]], [[171, 171, 174, 174, "COMPARE"], [171, 171, 178, 180, "USED-FOR"], [174, 174, 178, 180, "USED-FOR"], [193, 195, 189, 191, "USED-FOR"]]]
ICCV_2015_403_abs
train
[{"sentence": "In this paper , we aim to automatically render aging faces in a personalized way .", "entities": [{"text": "aging faces", "type": "OtherScientificTerm"}], "relations": []}, {"sentence": "Basically , a set of age-group specific dictionaries are learned , where the dictionary bases corresponding to the sam...
[]
[["We", "propose", "a", "draft", "scheme", "of", "the", "model", "formalizing", "the", "structure", "of", "communicative", "context", "in", "dialogue", "interaction", "."], ["The", "relationships", "between", "the", "interacting", "partners", "are", "considered", "as", "system", "of", "three", "automata", "representing...
[[[7, 7, "Generic"], [10, 13, "OtherScientificTerm"], [15, 16, "Material"]], []]
[[[7, 7, 10, 13, "USED-FOR"], [15, 16, 10, 13, "FEATURE-OF"]], []]
E85-1041
train
[{"sentence": "We propose a draft scheme of the model formalizing the structure of communicative context in dialogue interaction .", "entities": [{"text": "model", "type": "Generic"}, {"text": "structure of communicative context", "type": "OtherScientificTerm"}, {"text": "dialogue interaction", "type": "Material"}], "r...
[[[82, 82], [108, 109]], [[56, 56], [58, 58], [75, 75], [129, 129]]]
[["Visitors", "who", "browse", "the", "web", "from", "wireless", "PDAs", ",", "cell", "phones", ",", "and", "pagers", "are", "frequently", "stymied", "by", "web", "interfaces", "optimized", "for", "desktop", "PCs", "."], ["Simply", "replacing", "graphics", "with", "text", "and", "reformatting", "tables", "does", "not",...
[[[18, 19, "Method"], [22, 23, "OtherScientificTerm"]], [[40, 42, "OtherScientificTerm"]], [[56, 56, "Generic"], [58, 58, "Method"], [63, 65, "Task"]], [[75, 75, "Method"], [82, 82, "Generic"], [84, 86, "OtherScientificTerm"], [90, 93, "Task"]], [[108, 109, "Generic"], [112, 117, "Method"], [119, 122, "Method"], [129, ...
[[[18, 19, 22, 23, "USED-FOR"]], [], [[56, 56, 63, 65, "USED-FOR"], [56, 56, 63, 65, "USED-FOR"]], [[82, 82, 75, 75, "USED-FOR"], [82, 82, 84, 86, "USED-FOR"], [82, 82, 90, 93, "USED-FOR"]], [[112, 117, 108, 109, "HYPONYM-OF"], [112, 117, 119, 122, "CONJUNCTION"], [119, 122, 108, 109, "HYPONYM-OF"]]]
IJCAI_2001_12_abs
train
[{"sentence": "Visitors who browse the web from wireless PDAs , cell phones , and pagers are frequently stymied by web interfaces optimized for desktop PCs .", "entities": [{"text": "web interfaces", "type": "Method"}, {"text": "desktop PCs", "type": "OtherScientificTerm"}], "relations": [{"head": "web interfaces", "ta...
[[[48, 51], [121, 123]], [[22, 24], [35, 35]], [[5, 5], [84, 84]], [[108, 108], [125, 125], [142, 142]]]
[["This", "paper", "describes", "a", "particular", "approach", "to", "parsing", "that", "utilizes", "recent", "advances", "in", "unification-based", "parsing", "and", "in", "classification-based", "knowledge", "representation", "."], ["As", "unification-based", "grammatical", "frameworks", "are", "extended", "to", "han...
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[[[5, 5, 7, 7, "USED-FOR"], [13, 14, 5, 5, "USED-FOR"], [17, 19, 5, 5, "USED-FOR"], [17, 19, 13, 14, "CONJUNCTION"]], [[22, 24, 32, 33, "USED-FOR"], [48, 51, 35, 35, "USED-FOR"]], [[60, 62, 67, 69, "USED-FOR"]], [[77, 80, 84, 84, "USED-FOR"]], [], [[121, 123, 125, 125, "USED-FOR"], [121, 123, 127, 128, "USED-FOR"], [12...
H90-1011
train
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W99-0408
train
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IJCAI_2013_5_abs
train
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C04-1102
train
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CVPR_2004_21_abs
train
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N03-2017
train
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P05-1018
train
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C92-3165
train
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[]
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[[[15, 16, 19, 20, "PART-OF"], [35, 35, 38, 39, "EVALUATE-FOR"]], []]
C08-1118
train
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INTERSPEECH_2006_28_abs
train
[{"sentence": "We investigated whether automatic phonetic transcriptions -LRB- APTs -RRB- can replace manually verified phonetic transcriptions -LRB- MPTs -RRB- in a large corpus-based study on pronunciation variation .", "entities": [{"text": "automatic phonetic transcriptions -LRB- APTs -RRB-", "type": "OtherScientif...
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AAAI_2015_10_abs
train
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ICASSP_1997_707_abs
train
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P01-1009
train
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H01-1058
train
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H05-1064
train
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NIPS_2003_18_abs
train
[{"sentence": "This paper presents an algorithm for learning the time-varying shape of a non-rigid 3D object from uncalibrated 2D tracking data .", "entities": [{"text": "algorithm", "type": "Generic"}, {"text": "learning the time-varying shape of a non-rigid 3D object", "type": "Task"}, {"text": "uncalibrated 2D track...
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