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ACL 2007 Meeting of the Association for Computational Linguistics

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2007

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An API for Measuring the Relatedness of Words in Wikipedia

14 years 1 months ago

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We present an API for computing the semantic relatedness of words in Wikipedia.

Simone Paolo Ponzetto, Michael Strube

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Id	Views	Title	Status

1	314	An API for Measuring the Relatedness of Words in Wikipedia	claim
2	286	A discriminative language model with pseudo-negative samples	claim
3	222	Improved Word-Level System Combination for Machine Translation	claim
4	205	A Re-examination of Machine Learning Approaches for Sentence-Level MT Evaluation	claim
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6	201	Pivot Language Approach for Phrase-Based Statistical Machine Translation	claim
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8	189	Guiding Semi-Supervision with Constraint-Driven Learning	claim
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11	174	A Grammar-driven Convolution Tree Kernel for Semantic Role Classification	claim
12	168	K-best Spanning Tree Parsing	claim
13	164	Coordinate Noun Phrase Disambiguation in a Generative Parsing Model	claim
14	161	Expanding Indonesian-Japanese Small Translation Dictionary Using a Pivot Language	claim
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16	153	Bilingual-LSA Based LM Adaptation for Spoken Language Translation	claim
17	152	Frustratingly Easy Domain Adaptation	claim
18	151	Generating Complex Morphology for Machine Translation	claim
19	150	A Simple, Similarity-based Model for Selectional Preferences	claim
20	148	A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing	claim
21	148	Assisting Translators in Indirect Lexical Transfer	claim
22	146	Forest-to-String Statistical Translation Rules	claim
23	145	Conditional Modality Fusion for Coreference Resolution	claim
24	144	Unsupervised Language Model Adaptation Incorporating Named Entity Information	claim
25	143	Tailoring Word Alignments to Syntactic Machine Translation	claim
26	142	Automatic Discovery of Named Entity Variants: Grammar-driven Approaches to Non-Alphabetical Transliterations	claim
27	142	Fast Unsupervised Incremental Parsing	claim
28	141	Semantic Transliteration of Personal Names	claim
29	141	Fast Semantic Extraction Using a Novel Neural Network Architecture	claim
30	140	Sparse Information Extraction: Unsupervised Language Models to the Rescue	claim
31	139	Statistical Machine Translation for Query Expansion in Answer Retrieval	claim
32	139	Domain Adaptation with Active Learning for Word Sense Disambiguation	claim
33	137	Adding Noun Phrase Structure to the Penn Treebank	claim
34	136	Corpus Effects on the Evaluation of Automated Transliteration Systems	claim
35	135	Learning to Extract Relations from the Web using Minimal Supervision	claim
36	134	Transforming Projective Bilexical Dependency Grammars into efficiently-parsable CFGs with Unfold-Fold	claim
37	134	Opinion Mining using Econometrics: A Case Study on Reputation Systems	claim
38	133	Automatic Part-of-Speech Tagging for Bengali: An Approach for Morphologically Rich Languages in a Poor Resource Scenario	claim
39	132	Mildly Context-Sensitive Dependency Languages	claim
40	132	Unsupervised Coreference Resolution in a Nonparametric Bayesian Model	claim
41	131	Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus	claim
42	131	HPSG Parsing with Shallow Dependency Constraints	claim
43	131	Word Sense Disambiguation Improves Statistical Machine Translation	claim
44	130	SVM Model Tampering and Anchored Learning: A Case Study in Hebrew NP Chunking	claim
45	130	Randomised Language Modelling for Statistical Machine Translation	claim
46	130	Making Sense of Sound: Unsupervised Topic Segmentation over Acoustic Input	claim
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48	129	Minimally Lexicalized Dependency Parsing	claim
49	128	Computing Lexical Chains with Graph Clustering	claim
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51	127	Measuring Importance and Query Relevance in Topic-focused Multi-document Summarization	claim
52	126	Vocabulary Decomposition for Estonian Open Vocabulary Speech Recognition	claim
53	126	Generating a Table-of-Contents	claim
54	125	A Seed-driven Bottom-up Machine Learning Framework for Extracting Relations of Various Complexity	claim
55	125	Semantic enrichment of journal articles using chemical named entity recognition	claim
56	125	Formalism-Independent Parser Evaluation with CCG and DepBank	claim
57	124	Topic Analysis for Psychiatric Document Retrieval	claim
58	123	An Implementation of Combined Partial Parser and Morphosyntactic Disambiguator	claim
59	123	PageRanking WordNet Synsets: An Application to Opinion Mining	claim
60	122	Exploiting Syntactic and Shallow Semantic Kernels for Question Answer Classification	claim
61	122	Multilingual Transliteration Using Feature based Phonetic Method	claim
62	121	Minimum Bayes Risk Decoding for BLEU	claim
63	121	Constituent Parsing with Incremental Sigmoid Belief Networks	claim
64	121	Detecting Semantic Relations between Named Entities in Text Using Contextual Features	claim
65	120	Parsing and Generation as Datalog Queries	claim
66	120	Bootstrapping a Stochastic Transducer for Arabic-English Transliteration Extraction	claim
67	120	A Probabilistic Approach to Syntax-based Reordering for Statistical Machine Translation	claim
68	118	Grammar Approximation by Representative Sublanguage: A New Model for Language Learning	claim
69	118	Extracting Hypernym Pairs from the Web	claim
70	117	Guiding Statistical Word Alignment Models With Prior Knowledge	claim
71	116	Annotating and Learning Compound Noun Semantics	claim
72	116	A Discriminative Syntactic Word Order Model for Machine Translation	claim
73	116	A Bayesian Model for Discovering Typological Implications	claim
74	116	Making Lexical Ontologies Functional and Context-Sensitive	claim
75	115	A System for Large-Scale Acquisition of Verbal, Nominal and Adjectival Subcategorization Frames from Corpora	claim
76	115	Poliqarp: An open source corpus indexer and search engine with syntactic extensions	claim
77	114	A Unified Tagging Approach to Text Normalization	claim
78	114	Regression for Sentence-Level MT Evaluation with Pseudo References	claim
79	114	Finding document topics for improving topic segmentation	claim
80	114	Bootstrapping Word Alignment via Word Packing	claim
81	113	Extracting Word Sets with Non-Taxonomical Relation	claim
82	113	User Requirements Analysis for Meeting Information Retrieval Based on Query Elicitation	claim
83	113	Structured Models for Fine-to-Coarse Sentiment Analysis	claim
84	112	Pipeline Iteration	claim
85	112	Improving the Interpretation of Noun Phrases with Cross-linguistic Information	claim
86	112	Alignment-Based Discriminative String Similarity	claim
87	111	WordNet-based Semantic Relatedness Measures in Automatic Speech Recognition for Meetings	claim
88	111	Semantic Class Induction and Coreference Resolution	claim
89	111	Construction of Domain Dictionary for Fundamental Vocabulary	claim
90	111	NICT-ATR Speech-to-Speech Translation System	claim
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92	111	Forest Rescoring: Faster Decoding with Integrated Language Models	claim
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95	110	Instance Weighting for Domain Adaptation in NLP	claim
96	110	A Feature Based Approach to Leveraging Context for Classifying Newsgroup Style Discussion Segments	claim
97	108	Optimizing Grammars for Minimum Dependency Length	claim
98	108	Automatic Acquisition of Ranked Qualia Structures from the Web	claim
99	108	The Utility of a Graphical Representation of Discourse Structure in Spoken Dialogue Systems	claim
100	108	Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification	claim
101	107	Ordering Phrases with Function Words	claim
102	106	Kinds of Features for Chinese Opinionated Information Retrieval	claim
103	106	Shallow Dependency Labeling	claim
104	106	Text Analysis for Automatic Image Annotation	claim
105	106	On the role of context and prosody in the interpretation of 'okay'	claim
106	105	Predicting Success in Dialogue	claim
107	104	On the formalization of Invariant Mappings for Metaphor Interpretation	claim
108	104	Instance-based Evaluation of Entailment Rule Acquisition	claim
109	103	Generalizing semantic role annotations across syntactically similar verbs	claim
110	102	Inducing Combinatory Categorial Grammars with Genetic Algorithms	claim
111	101	A Computational Model of Text Reuse in Ancient Literary Texts	claim
112	100	Generating Usable Formats for Metadata and Annotations in a Large Meeting Corpus	claim
113	100	Machine Translation by Triangulation: Making Effective Use of Multi-Parallel Corpora	claim
114	99	Learning Expressive Models for Word Sense Disambiguation	claim
115	99	System Demonstration of On-Demand Information Extraction	claim
116	99	Is the End of Supervised Parsing in Sight?	claim
117	99	Resolving It, This, and That in Unrestricted Multi-Party Dialog	claim
118	99	GLEU: Automatic Evaluation of Sentence-Level Fluency	claim
119	98	Rethinking Chinese Word Segmentation: Tokenization, Character Classification, or Wordbreak Identification	claim
120	98	Learning Multilingual Subjective Language via Cross-Lingual Projections	claim
121	97	Japanese Dependency Parsing Using Sequential Labeling for Semi-spoken Language	claim
122	97	Learning Predictive Structures for Semantic Role Labeling of NomBank	claim
123	96	Generalizing Tree Transformations for Inductive Dependency Parsing	claim
124	93	A Linguistic Service Ontology for Language Infrastructures	claim
125	93	Substring-Based Transliteration	claim
126	93	Phonological Constraints and Morphological Preprocessing for Grapheme-to-Phoneme Conversion	claim
127	91	Real-Time Correction of Closed-Captions	claim
128	90	Empirical Measurements of Lexical Similarity in Noun Phrase Conjuncts	claim
129	89	Transductive learning for statistical machine translation	claim
130	89	An Ensemble Method for Selection of High Quality Parses	claim
131	89	Sentence generation as a planning problem	claim
132	89	Disambiguating Between Generic and Referential "You" in Dialog	claim
133	87	Extending MARIE: an N-gram-based SMT decoder	claim
134	86	Generating Constituent Order in German Clauses	claim
135	85	A Translation Aid System with a Stratified Lookup Interface	claim
136	83	Support Vector Machines for Query-focused Summarization trained and evaluated on Pyramid data	claim
137	80	A fully Bayesian approach to unsupervised part-of-speech tagging	claim
138	79	A Symbolic Approach to Near-Deterministic Surface Realisation using Tree Adjoining Grammar	claim

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