Andrew Borthwick. A Maximum Entropy Approach to Named Entity Recognition. PhD thesis, New York University, 1999. Home/Search Document Details and Download
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Coupling Named Entity Recognition, Vector-Space Model and - Knowledge Bases For (Correct)
....Question Answering task. In the past few years, there was a growing interest in NE analysis. Most current techniques for NE recognition are based on handcrafted finite state patterns [Appelt et al. 1995; Weischedel, 1995] on Hidden Markov Model [Bikel et al. 1999] or on Maximum entropy approach [Borthwick, 1999] The NE analysis approach used in this task is based on a cascade of transducers. Some special features have been added to enhance the NE recognition. Among those features, a normalization d)nction for normalizing proper noun occurrences in a text frame has been engineered, as well as a trivial ....
A. Borthwick, "A Maximum Entropy Approach to Named Entity Recognition", Ph.D. (1999) New York University. Department of Computer Science, Courant Institute. Specialized in artificial intelligence and computational linguistics.
Coupling Named Entity Recognition, Vector-Space.. - Bellot, Crestan.. (Correct)
....Question Answering task. In the past few years, there was a growing interest in NE analysis. Most current techniques for NE recognition are based on handcrafted finite state patterns [Appelt et al. 1995; Weischedel, 1995] on Hidden Markov Model [Bikel et al. 1999] or on Maximum entropy approach [Borthwick, 1999] Sinequa S.A.S. http: www.sinequa.com LIA: http: www.lia.univ avignon.fr The NE analysis approach used in this task is based on a cascade of transducers. Some special features have been added to enhance the NE recognition. Among those features, a normalization function for normalizing ....
A. Borthwick, "A Maximum Entropy Approach to Named Entity Recognition", Ph.D. (1999) New York University. Department of Computer Science, Courant Institute. Specialized in artificial intelligence and computational linguistics.
Automatic Multi-Lingual Information Extraction - Peng (2001) (Correct)
....specially doing information extraction we are aware of include: WhizBang,Pittsburgh, http: www.whizbang.com . It transfers web data using information extraction into database. ChoiceMaker, New York, NY, http: www.choicemaker.com A company specializes in NE, started by the author of [8] after he graduated from NYU. SRV International, Fairfax, Virginia; http: www.sra.com, A company specializes in multi lingual information extraction, multi lingual infor4 mation retrieval, summarization, clustering, categorization, visualization, speech recognition applications, text and data ....
....with MUC since MUC 6. But unfortunately, the MUCs stopped after 1998 (MUC 7) because of the funding problem. The conferences on IR (TRECs) continues, which mainly focus on information retrieval and recently focus on question answering. Learning from text has created several Ph.D. thesises [8, 35, 50, 58, 92, 98]. In the following two subsections, we will brie y review the previous research on English IE and Multi lingual IE, mainly on NE recognition tasks. 4.1 English IE In [67, 68] we have made a comprehensive survey for the information extraction models. The systems can be classi ed into dictionary ....
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Borthwick,A. A Maximum Entropy Approach to Named Entity Recognition. Ph.D. Thesis. New York University. September, 1999.
NTT Question Answering System in TREC 2001 - Hideto Kazawa Hideki (2001) (Correct)
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Andrew Borthwick. A Maximum Entropy Approach to Named Entity Recognition. PhD thesis, New York University, 1999.
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A. Borthwick. 1999. A Maximum Entropy Approach to Named Entity Recognition. Ph.D. thesis, New York University. Egyptian Demographic Center. 2000. http://www.frcu.eun.eg/www/homepage/cdc/cdc.htm.
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A. Borthwick. A Maximum Entropy Approach to Named Entity Recognition. PhD thesis, New York University, 1999.
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Borthwick, A.: A Maximum Entropy Approach to Named Entity Recognition. Ph.d. thesis, New York University (1999)
Mencius: A Chinese Named Entity Recognizer Using Hybrid Model - Tsai, Wu, Hsu (2003) (Correct)
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A. Borthwick, "A Maximum Entropy Approach to Named Entity Recognition," New York University, 1999.
Named Entity Recognition using an HMM-based Chunk Tagger - Zhou, Su (2002) (4 citations) (Correct)
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Andrew Borthwick. A Maximum Entropy Approach to Named Entity Recognition. Ph.D. Thesis. New York University. September, 1999.
Named Entity Recognition using an HMM-based Chunk Tagger - Zhou, Su (2002) (4 citations) (Correct)
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Andrew Borthwick. A Maximum Entropy Approach to Named Entity Recognition. Ph.D. Thesis. New York University. September, 1999.
Named Entity Recognition without Gazetteers Using a Machine.. - Zhou (2002) (Correct)
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Andrew Borthwick. A Maximum Entropy Approach to Named Entity Recognition. Ph.D. Thesis. New York University. September, 1999.
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