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EMNLP
2009

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A Rich Feature Vector for Protein-Protein Interaction Extraction from Multiple Corpora

13 years 10 months ago

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Because of the importance of proteinprotein interaction (PPI) extraction from text, many corpora have been proposed with slightly differing definitions of proteins and PPI. Since ...

Makoto Miwa, Rune Sætre, Yusuke Miyao, Jun-i...

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Id	Views	Title	Status

1	208	A Rich Feature Vector for Protein-Protein Interaction Extraction from Multiple Corpora	claim
2	207	Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora	claim
3	202	Cross-lingual Semantic Relatedness Using Encyclopedic Knowledge	claim
4	183	A Joint Language Model With Fine-grain Syntactic Tags	claim
5	180	Integrating sentence- and word-level error identification for disfluency correction	claim
6	179	Cross-Cultural Analysis of Blogs and Forums with Mixed-Collection Topic Models	claim
7	177	Sinuhe - Statistical Machine Translation using a Globally Trained Conditional Exponential Family Translation Model	claim
8	177	Gazpacho and summer rash: lexical relationships from temporal patterns of web search queries	claim
9	177	Predicting Subjectivity in Multimodal Conversations	claim
10	176	Collocation Extraction Using Monolingual Word Alignment Method	claim
11	173	Hypernym Discovery Based on Distributional Similarity and Hierarchical Structures	claim
12	171	The infinite HMM for unsupervised PoS tagging	claim
13	169	Accurate Semantic Class Classifier for Coreference Resolution	claim
14	169	Adapting a Polarity Lexicon using Integer Linear Programming for Domain-Specific Sentiment Classification	claim
15	166	Weighted Alignment Matrices for Statistical Machine Translation	claim
16	165	Automatically Evaluating Content Selection in Summarization without Human Models	claim
17	163	Parser Adaptation and Projection with Quasi-Synchronous Grammar Features	claim
18	163	Discovery of Term Variation in Japanese Web Search Queries	claim
19	162	Empirical Exploitation of Click Data for Task Specific Ranking	claim
20	161	A Study on the Semantic Relatedness of Query and Document Terms in Information Retrieval	claim
21	160	Consensus Training for Consensus Decoding in Machine Translation	claim
22	159	Polylingual Topic Models	claim
23	157	Bidirectional Phrase-based Statistical Machine Translation	claim
24	157	Model Adaptation via Model Interpolation and Boosting for Web Search Ranking	claim
25	156	Subjectivity Word Sense Disambiguation	claim
26	155	Self-Training PCFG Grammars with Latent Annotations Across Languages	claim
27	154	Mining Search Engine Clickthrough Log for Matching N-gram Features	claim
28	152	Improved Statistical Machine Translation Using Monolingually-Derived Paraphrases	claim
29	151	Chinese Novelty Mining	claim
30	147	Discriminative Corpus Weight Estimation for Machine Translation	claim
31	147	Feasibility of Human-in-the-loop Minimum Error Rate Training	claim
32	146	Bilingually-Constrained (Monolingual) Shift-Reduce Parsing	claim
33	146	Segmenting Email Message Text into Zones	claim
34	145	Bayesian Learning of Phrasal Tree-to-String Templates	claim
35	144	Latent Document Re-Ranking	claim
36	144	Cube Pruning as Heuristic Search	claim
37	144	Nested Named Entity Recognition	claim
38	144	Projecting Parameters for Multilingual Word Sense Disambiguation	claim
39	144	Domain adaptive bootstrapping for named entity recognition	claim
40	144	Efficient kernels for sentence pair classification	claim
41	144	Statistical Bistratal Dependency Parsing	claim
42	143	Using Word-Sense Disambiguation Methods to Classify Web Queries by Intent	claim
43	143	A Comparison of Model Free versus Model Intensive Approaches to Sentence Compression	claim
44	143	Toward Completeness in Concept Extraction and Classification	claim
45	143	Extending Statistical Machine Translation with Discriminative and Trigger-Based Lexicon Models	claim
46	142	Better Synchronous Binarization for Machine Translation	claim
47	142	Natural Language Generation with Tree Conditional Random Fields	claim
48	142	Generalized Expectation Criteria for Bootstrapping Extractors using Record-Text Alignment	claim
49	142	Character-level Analysis of Semi-Structured Documents for Set Expansion	claim
50	141	The Feature Subspace Method for SMT System Combination	claim
51	141	Semi-Supervised Learning for Semantic Relation Classification using Stratified Sampling Strategy	claim
52	140	Synchronous Tree Adjoining Machine Translation	claim
53	140	Convolution Kernels on Constituent, Dependency and Sequential Structures for Relation Extraction	claim
54	139	Classifier Combination for Contextual Idiom Detection Without Labelled Data	claim
55	139	Using the Web for Language Independent Spellchecking and Autocorrection	claim
56	139	Unsupervised Semantic Parsing	claim
57	138	Bilingual dictionary generation for low-resourced language pairs	claim
58	137	Construction of a Blog Emotion Corpus for Chinese Emotional Expression Analysis	claim
59	137	Lattice-based System Combination for Statistical Machine Translation	claim
60	137	Wikipedia as Frame Information Repository	claim
61	137	Semi-supervised Semantic Role Labeling Using the Latent Words Language Model	claim
62	137	On the Use of Virtual Evidence in Conditional Random Fields	claim
63	136	Active Learning by Labeling Features	claim
64	136	Improving Dependency Parsing with Subtrees from Auto-Parsed Data	claim
65	136	Reverse Engineering of Tree Kernel Feature Spaces	claim
66	136	Chinese Semantic Role Labeling with Shallow Parsing	claim
67	136	Graphical Models over Multiple Strings	claim
68	135	Simple Coreference Resolution with Rich Syntactic and Semantic Features	claim
69	133	Graded Word Sense Assignment	claim
70	133	Unsupervised Tokenization for Machine Translation	claim
71	132	Investigation of Question Classifier in Question Answering	claim
72	131	Recognizing Textual Relatedness with Predicate-Argument Structures	claim
73	130	Graph Alignment for Semi-Supervised Semantic Role Labeling	claim
74	130	Supervised Learning of a Probabilistic Lexicon of Verb Semantic Classes	claim
75	130	Classifying Relations for Biomedical Named Entity Disambiguation	claim
76	130	Multilingual Spectral Clustering Using Document Similarity Propagation	claim
77	130	Clustering to Find Exemplar Terms for Keyphrase Extraction	claim
78	129	K-Best Combination of Syntactic Parsers	claim
79	129	Feature-Rich Translation by Quasi-Synchronous Lattice Parsing	claim
80	129	Recognizing Implicit Discourse Relations in the Penn Discourse Treebank	claim
81	129	Review Sentiment Scoring via a Parse-and-Paraphrase Paradigm	claim
82	129	Improved Statistical Machine Translation for Resource-Poor Languages Using Related Resource-Rich Languages	claim
83	129	Multi-Class Confidence Weighted Algorithms	claim
84	127	Non-Projective Parsing for Statistical Machine Translation	claim
85	127	Improving Verb Clustering with Automatically Acquired Selectional Preferences	claim
86	126	EEG responds to conceptual stimuli and corpus semantics	claim
87	125	Human-competitive tagging using automatic keyphrase extraction	claim
88	124	On the Role of Lexical Features in Sequence Labeling	claim
89	123	First- and Second-Order Expectation Semirings with Applications to Minimum-Risk Training on Translation Forests	claim
90	123	A Probabilistic Model for Associative Anaphora Resolution	claim
91	123	Acquiring Translation Equivalences of Multiword Expressions by Normalized Correlation Frequencies	claim
92	123	A Bayesian Model of Syntax-Directed Tree to String Grammar Induction	claim
93	122	Detecting Speculations and their Scopes in Scientific Text	claim
94	122	What's in a name? In some languages, grammatical gender	claim
95	122	Unbounded Dependency Recovery for Parser Evaluation	claim
96	122	Person Cross Document Coreference with Name Perplexity Estimates	claim
97	122	Stream-based Randomised Language Models for SMT	claim
98	122	Large-Scale Verb Entailment Acquisition from the Web	claim
99	122	It's Not You, it's Me: Detecting Flirting and its Misperception in Speed-Dates	claim
100	122	A Comparison of Windowless and Window-Based Computational Association Measures as Predictors of Syntagmatic Human Associations	claim
101	121	Web-Scale Distributional Similarity and Entity Set Expansion	claim
102	121	Semi-supervised Speech Act Recognition in Emails and Forums	claim
103	121	Re-Ranking Models Based-on Small Training Data for Spoken Language Understanding	claim
104	119	Joint Optimization for Machine Translation System Combination	claim
105	119	Generating High-Coverage Semantic Orientation Lexicons From Overtly Marked Words and a Thesaurus	claim
106	119	Using Morphological and Syntactic Structures for Chinese Opinion Analysis	claim
107	119	Combining Collocations, Lexical and Encyclopedic Knowledge for Metonymy Resolution	claim
108	119	Effective Use of Linguistic and Contextual Information for Statistical Machine Translation	claim
109	118	Discriminative Substring Decoding for Transliteration	claim
110	118	How well does active learning	claim
111	118	Real-Word Spelling Correction using Google Web 1T 3-grams	claim
112	117	A Structural Support Vector Method for Extracting Contexts and Answers of Questions from Online Forums	claim
113	117	A Compact Forest for Scalable Inference over Entailment and Paraphrase Rules	claim
114	116	Quantifier Scope Disambiguation Using Extracted Pragmatic Knowledge: Preliminary Results	claim
115	116	Descriptive and Empirical Approaches to Capturing Underlying Dependencies among Parsing Errors	claim
116	115	Statistical Estimation of Word Acquisition with Application to Readability Prediction	claim
117	114	Refining Grammars for Parsing with Hierarchical Semantic Knowledge	claim
118	114	An Alternative to Head-Driven Approaches for Parsing a (Relatively) Free Word-Order Language	claim
119	113	Tree Kernel-based SVM with Structured Syntactic Knowledge for BTG-based Phrase Reordering	claim
120	113	The role of named entities in Web People Search	claim
121	113	Improved Word Alignment with Statistics and Linguistic Heuristics	claim
122	111	An Empirical Study of Semi-supervised Structured Conditional Models for Dependency Parsing	claim
123	110	Improving Web Search Relevance with Semantic Features	claim
124	110	Finding Short Definitions of Terms on Web Pages	claim
125	109	Matching Reviews to Objects using a Language Model	claim
126	109	Sentiment Analysis of Conditional Sentences	claim
127	109	Employing the Centering Theory in Pronoun Resolution from the Semantic Perspective	claim
128	109	Learning Term-weighting Functions for Similarity Measures	claim
129	108	Perceptron Reranking for CCG Realization	claim
130	107	Learning Linear Ordering Problems for Better Translation	claim
131	107	Fast, Cheap, and Creative: Evaluating Translation Quality Using Amazon's Mechanical Turk	claim
132	107	Entity Extraction via Ensemble Semantics	claim
133	107	Polynomial to Linear: Efficient Classification with Conjunctive Features	claim
134	104	Real-time decision detection in multi-party dialogue	claim
135	104	Supervised and Unsupervised Methods in Employing Discourse Relations for Improving Opinion Polarity Classification	claim
136	104	Phrase Dependency Parsing for Opinion Mining	claim
137	104	Towards Domain-Independent Argumentative Zoning: Evidence from Chemistry and Computational Linguistics	claim
138	104	Unsupervised morphological segmentation and clustering with document boundaries	claim
139	102	Language Models Based on Semantic Composition	claim
140	100	Geo-mining: Discovery of Road and Transport Networks Using Directional Patterns	claim
141	100	Fast Translation Rule Matching for Syntax-based Statistical Machine Translation	claim
142	100	Joint Learning of Preposition Senses and Semantic Roles of Prepositional Phrases	claim
143	100	Supervised Models for Coreference Resolution	claim
144	99	Accuracy-Based Scoring for DOT: Towards Direct Error Minimization for Data-Oriented Translation	claim
145	99	A Syntactified Direct Translation Model with Linear-time Decoding	claim
146	99	A Unified Model of Phrasal and Sentential Evidence for Information Extraction	claim
147	96	Less is More: Significance-Based N-gram Selection for Smaller, Better Language Models	claim
148	94	A Simple Unsupervised Learner for POS Disambiguation Rules Given Only a Minimal Lexicon	claim
149	90	Multi-Document Summarisation Using Generic Relation Extraction	claim
150	88	Fully Lexicalising CCGbank with Hat Categories	claim
151	85	Multi-Word Expression Identification Using Sentence Surface Features	claim
152	83	Enhancement of Lexical Concepts Using Cross-lingual Web Mining	claim
153	79	Reading to Learn: Constructing Features from Semantic Abstracts	claim
154	75	Global Learning of Noun Phrase Anaphoricity in Coreference Resolution via Label Propagation	claim

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