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EMNLP
2007

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Large-Scale Named Entity Disambiguation Based on Wikipedia Data

14 years 1 months ago

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This paper presents a large-scale system for the recognition and semantic disambiguation of named entities based on information extracted from a large encyclopedic collection and ...

Silviu Cucerzan

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Id	Views	Title	Status

1	346	Large-Scale Named Entity Disambiguation Based on Wikipedia Data	claim
2	293	Low-Quality Product Review Detection in Opinion Summarization	claim
3	250	Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach	claim
4	202	Improving Query Spelling Correction Using Web Search Results	claim
5	198	The CoNLL 2007 Shared Task on Dependency Parsing	claim
6	197	Large Margin Synchronous Generation and its Application to Sentence Compression	claim
7	194	Instance Based Lexical Entailment for Ontology Population	claim
8	191	Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors	claim
9	186	Extracting Aspect-Evaluation and Aspect-Of Relations in Opinion Mining	claim
10	171	Multilingual Dependency Parsing and Domain Adaptation using DeSR	claim
11	167	Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles	claim
12	162	Probabilistic Coordination Disambiguation in a Fully-Lexicalized Japanese Parser	claim
13	162	Tree Kernel-Based Relation Extraction with Context-Sensitive Structured Parse Tree Information	claim
14	159	A Sequence Alignment Model Based on the Averaged Perceptron	claim
15	158	Large Language Models in Machine Translation	claim
16	158	Adapting the RASP System for the CoNLL07 Domain-Adaptation Task	claim
17	157	LEDIR: An Unsupervised Algorithm for Learning Directionality of Inference Rules	claim
18	155	Chinese Syntactic Reordering for Statistical Machine Translation	claim
19	150	Learning Unsupervised SVM Classifier for Answer Selection in Web Question Answering	claim
20	149	Lexical Semantic Relatedness with Random Graph Walks	claim
21	149	Joint Morphological and Syntactic Disambiguation	claim
22	149	Online Learning for Deterministic Dependency Parsing	claim
23	148	Improving Word Sense Disambiguation Using Topic Features	claim
24	148	A Comparative Evaluation of Deep and Shallow Approaches to the Automatic Detection of Common Grammatical Errors	claim
25	148	Exploiting Wikipedia as External Knowledge for Named Entity Recognition	claim
26	146	Improving Word Alignment with Bridge Languages	claim
27	146	Learning to Merge Word Senses	claim
28	144	Using Semantic Roles to Improve Question Answering	claim
29	144	Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model	claim
30	144	A Topic Model for Word Sense Disambiguation	claim
31	143	Multilingual Dependency Parsing Using Global Features	claim
32	141	Improving Statistical Machine Translation Using Word Sense Disambiguation	claim
33	140	Incremental Text Structuring with Online Hierarchical Ranking	claim
34	139	Extending a Thesaurus in the Pan-Chinese Context	claim
35	138	Part-of-Speech Tagging for Middle English through Alignment and Projection of Parallel Diachronic Texts	claim
36	135	Incremental Dependency Parsing Using Online Learning	claim
37	135	Detecting Compositionality of Verb-Object Combinations using Selectional Preferences	claim
38	134	Building Lexicon for Sentiment Analysis from Massive Collection of HTML Documents	claim
39	134	Hierarchical System Combination for Machine Translation	claim
40	133	Finding Good Sequential Model Structures using Output Transformations	claim
41	133	Learning Structured Models for Phone Recognition	claim
42	132	A Constraint Satisfaction Approach to Dependency Parsing	claim
43	129	Unsupervised Part-of-Speech Acquisition for Resource-Scarce Languages	claim
44	128	Antecedent Selection Techniques for High-Recall Coreference Resolution	claim
45	128	Phrase Reordering Model Integrating Syntactic Knowledge for SMT	claim
46	127	Flexible, Corpus-Based Modelling of Human Plausibility Judgements	claim
47	126	A Statistical Language Modeling Approach to Lattice-Based Spoken Document Retrieval	claim
48	125	Word Sense Disambiguation Incorporating Lexical and Structural Semantic Information	claim
49	125	Experimental Evaluation of LTAG-Based Features for Semantic Role Labeling	claim
50	124	Experiments with a Higher-Order Projective Dependency Parser	claim
51	124	V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure	claim
52	122	Using Foreign Inclusion Detection to Improve Parsing Performance	claim
53	122	Covington Variations	claim
54	122	Single Malt or Blended? A Study in Multilingual Parser Optimization	claim
55	121	Syntactic Re-Alignment Models for Machine Translation	claim
56	121	An Empirical Study on Computing Consensus Translations from Multiple Machine Translation Systems	claim
57	120	Bayesian Document Generative Model with Explicit Multiple Topics	claim
58	119	Towards Robust Unsupervised Personal Name Disambiguation	claim
59	119	Incremental Generation of Plural Descriptions: Similarity and Partitioning	claim
60	118	Learning to Find English to Chinese Transliterations on the Web	claim
61	118	Learning Noun Phrase Query Segmentation	claim
62	118	Modelling Compression with Discourse Constraints	claim
63	118	Japanese Dependency Analysis Using the Ancestor-Descendant Relation	claim
64	116	Online Large-Margin Training for Statistical Machine Translation	claim
65	116	Topic Segmentation with Hybrid Document Indexing	claim
66	115	Online Learning of Relaxed CCG Grammars for Parsing to Logical Form	claim
67	115	Extracting Data Records from Unstructured Biomedical Full Text	claim
68	114	Compressing Trigram Language Models With Golomb Coding	claim
69	114	Bootstrapping Information Extraction from Field Books	claim
70	113	Mandarin Part-of-Speech Tagging and Discriminative Reranking	claim
71	113	Frustratingly Hard Domain Adaptation for Dependency Parsing	claim
72	113	Smooth Bilingual N-Gram Translation	claim
73	111	Exploiting Multi-Word Units in History-Based Probabilistic Generation	claim
74	110	Identification and Resolution of Chinese Zero Pronouns: A Machine Learning Approach	claim
75	110	Getting the Structure Right for Word Alignment: LEAF	claim
76	110	A Systematic Comparison of Training Criteria for Statistical Machine Translation	claim
77	110	Factored Translation Models	claim
78	110	Smoothed Bloom Filter Language Models: Tera-Scale LMs on the Cheap	claim
79	110	Determining Case in Arabic: Learning Complex Linguistic Behavior Requires Complex Linguistic Features	claim
80	109	Morphological Disambiguation of Hebrew: A Case Study in Classifier Combination	claim
81	107	A Discriminative Learning Model for Coordinate Conjunctions	claim
82	107	Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources	claim
83	105	Structured Prediction Models via the Matrix-Tree Theorem	claim
84	104	Multiple Alignment of Citation Sentences with Conditional Random Fields and Posterior Decoding	claim
85	104	Pro3Gres Parser in the CoNLL Domain Adaptation Shared Task	claim
86	104	What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA	claim
87	102	Probabilistic Models of Nonprojective Dependency Trees	claim
88	101	A Two-Stage Parser for Multilingual Dependency Parsing	claim
89	101	What Can Syntax-Based MT Learn from Phrase-Based MT?	claim
90	100	Semi-Markov Models for Sequence Segmentation	claim
91	99	Improving Translation Quality by Discarding Most of the Phrasetable	claim
92	98	Scalable Term Selection for Text Categorization	claim
93	94	Hierarchical Phrase-Based Translation with Suffix Arrays	claim
94	93	Global Learning of Labeled Dependency Trees	claim
95	93	Characterizing the Errors of Data-Driven Dependency Parsing Models	claim
96	92	Treebank Annotation Schemes and Parser Evaluation for German	claim
97	92	Multilingual Deterministic Dependency Parsing Framework using Modified Finite Newton Method Support Vector Machines	claim
98	91	A Probabilistic Approach to Diachronic Phonology	claim
99	91	Structural Correspondence Learning for Dependency Parsing	claim
100	89	Translating Unknown Words by Analogical Learning	claim
101	89	Generating Lexical Analogies Using Dependency Relations	claim
102	88	MavenRank: Identifying Influential Members of the US Senate Using Lexical Centrality	claim
103	87	Hybrid Ways to Improve Domain Independence in an ML Dependency Parser	claim
104	85	Why Doesn't EM Find Good HMM POS-Taggers?	claim
105	84	Recovery of Empty Nodes in Parse Structures	claim
106	72	Inducing Search Keys for Name Filtering	claim

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