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Combining Neural Networks and Log-linear Models to Improve Relation Extraction ...
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2
Coding syntactic properties of words in computational dictionaries
In: Wörterbücher. Dictionaries. Dictionnaires: Ein internationales Handbuch zur Lexikographie. An International Encyclopedia of Lexicography. Encyclopédie international de lexicographie (HSK 5.4) (2013), 1284-1295
IDS OBELEX meta
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3
Using document level cross-event inference to improve event extraction
In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 1, 789-797
BLLDB
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4
Who, What, When, Where, Why? Comparing Multiple Approaches to the Cross-Lingual 5W Task
BASE
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5
Where's the Verb? Correcting Machine Translation During Question Answering
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6
Who, What, When, Where, Why? Comparing Multiple Approaches to the Cross-Lingual 5W Task ...
Parton, Kristen; McKeown, Kathleen; Coyne, Robert Eric. - : Columbia University, 2009
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7
TIDES Extraction (ACE) 2003 Multilingual Training Data
Mitchell, Alexis; Strassel, Stephanie; Przybocki, Mark. - : Linguistic Data Consortium, 2004. : https://www.ldc.upenn.edu, 2004
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8
TIDES Extraction (ACE) 2003 Multilingual Training Data ...
Mitchell, Alexis; Strassel, Stephanie; Przybocki, Mark. - : Linguistic Data Consortium, 2004
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9
Discriminative Slot Detection Using Kernel Methods
In: DTIC (2004)
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10
ACE-2 Version 1.0
Abstract: *Introduction* ACE-2 Version 1.0 was produced by Linguistic Data Consortium (LDC) catalog number LDC2003T11 and ISBN 1-58563-270-8. This release contains Version 1.0 of the ACE-2 corpus, created and distributed by the LDC to support the Automatic Content Extraction (ACE) program. The objective of the ACE program is to develop extraction technology to support automatic processing of source language data (in the form of natural text, and as text derived from ASR and OCR). This includes classification, filtering, and selection based on the language content of the source data, i.e., based on the meaning conveyed by the data. Thus the ACE program requires the development of technologies that automatically detect and characterize this meaning. The ACE research objectives are viewed as the detection and characterization of Entities, Relations, and Events. There are three main ACE tasks: Entity Detection and Tracking, Relation Detection and Characterization, and Event Detection and Characterization. Annotations for the ACE-2 corpus were produced by Linguistic Data Consortium to support the following two research tasks: Entity Detection and Tracking (EDT) and Relation Detection and Characterization (RDC). For information regarding the ACE program and ACE technology evaluations administered by the National Institute of Standards and Technology (NIST), please visit the NIST website. For information about ACE annotation and ongoing ACE corpus development, including annotation guidelines, task definitions, annotation tools and other project documentation, please visit the ACE Project page at the LDC. *Data* This publication contains two sets of data: training and devtest. Each of these sets is further divided by source: broadcast news, newspaper, and newswire. The training contains data originally developed as training material for the February 2002 evaluation and again for the September 2002 evaluation. The devtest contains data originally developed as test data for the February 2002 evaluation and later used as devtest data for the September 2002 evaluation. The broadcast and newswire source data is drawn from a subset of the TDT2 Multilanguage Text Version 4.0 (LDC2001T57); this has been supplemented with additional newspaper data from the Washington Post. A portion of the training broadcast data was drawn from the 1997 English Broadcast News Transcripts (HUB4) corpus (LDC98T28). All material comes from the first half of 1998. The sources for the broadcast, newswire, and newspaper data are listed below. Newswire New York Times Newswire Service (NYT) Associated Press Worldstream Service (APW) Broadcast News Cable News Network, "Headline News" (CNN for TDT2, ed for Hub-4) American Broadcasting Co., "World News Tonight" (ABC for TDT2, ea for Hub-4) Public Radio International, "The World" (PRI) Voice of America, English news programs (VOA) MSNBC, "The News With Brian Williams" (MNB) National Broadcasting Company, "Nightly News" (NBC) Newspaper Washington Post (WAP) This publication includes both the source data files in .sgm format and the annotation files in ACE Pilot Format (APF), supporting documentation, and version 2.0.1 of the ACE DTD which was used for the September 2002 ACE Evaluation. There are 179,007 words of source data, or 519 files, broken down as follows: Source # Words train # Words devtest # Files train # Files devtest NYT 32892 7487 48 9 APW 29144 7037 82 20 CNN 2290 2653 69 11 ABC 1588 2687 24 10 PRI 1272 5284 43 9 VOA 594 2611 24 7 MNB 0 2539 0 6 NBC 0 2633 0 8 WAP 60247 15070 76 17 ea 2019 0 31 0 ed 1094 0 25 0 Total 131023 47984 422 97 *Updates* There are no updates available at this time. "The World" is a co-production of Public Radio International and the British Broadcasting Corporation and is produced at WGBH Boston.
URL: https://catalog.ldc.upenn.edu/LDC2003T11
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11
ACE-2 Version 1.0 ...
Mitchell, Alexis; Strassel, Stephanie; Przybocki, Mark. - : Linguistic Data Consortium, 2003
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12
Cross-lingual information extraction and automated text summarization
Hovy, Eduard (Hrsg.); Grishman, Ralph (Mitarb.); Hobbs, Jerry (Mitarb.)...
In: Multilingual information management. - Pisa [u.a.] : Ist. Ed. e Poligrafici Internazionli (2001), 57-79
BLLDB
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13
Covering Treebanks with GLARF
In: DTIC (2001)
BASE
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14
Selected papers from RANLP '97. - Recent advances in natural language processing ; 2 : Selected papers from RANLP '97. -
Grishman, Ralph (Mitarb.); Vogel, Carl (Mitarb.); Turcato, Davide (Mitarb.). - Amsterdam [u.a.] : Benjamins, 2000
BLLDB
UB Frankfurt Linguistik
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15
Natural language processing using very large corpora
Wu, Dekai (Mitarb.); Church, Kenneth W. (Hrsg.); Radev, Dragomir R. (Mitarb.). - Dordrecht [u.a.] : Kluwer, 1999
BLLDB
UB Frankfurt Linguistik
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16
COMLEX syntax : a large syntactic dictionary for natural language processing
In: Computers and the humanities. - Dordrecht [u.a.] : Kluwer 31 (1997-1998) 6, 459-481
BLLDB
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17
Language rescources
Godfrey, John J. (Mitarb.); Zampolli, Antonio (Mitarb.); Ejerhed, Eva (Mitarb.)...
In: Linguistica computazionale. - Pisa : Giardini 12-13 (1997), 381-408
BLLDB
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18
COMLEX Syntax Text Corpus Version 2.0
Macleod, Catherine; Meyers, Adam; Grishman, Ralph. - : Linguistic Data Consortium, 1996. : https://www.ldc.upenn.edu, 1996
BASE
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19
COMLEX Syntax Text Corpus Version 2.0 ...
Macleod, Catherine; Meyers, Adam; Grishman, Ralph. - : Linguistic Data Consortium, 1996
BASE
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20
The NYU System for MUC-6 or Where's the Syntax?
In: DTIC (1995)
BASE
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