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1
Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios
In: Conference of the Association for the Advancement of Artificial Intelligence ; https://hal.archives-ouvertes.fr/hal-02895835 ; Conference of the Association for the Advancement of Artificial Intelligence, Association for the Advancement of Artificial Intelligence, Feb 2020, New York, United States ; https://aaai.org/Conferences/AAAI-20/ (2020)
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2
StructSum: Summarization via Structured Representations ...
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3
Improving Candidate Generation for Low-resource Cross-lingual Entity Linking
In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 109-124 (2020) (2020)
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4
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework ...
Wang, Zirui; Xie, Jiateng; Xu, Ruochen. - : arXiv, 2019
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5
Learning Rhyming Constraints using Structured Adversaries ...
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6
Domain Adaptation of Neural Machine Translation by Lexicon Induction ...
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7
Neural Cross-Lingual Named Entity Recognition with Minimal Resources ...
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8
Zero-shot Neural Transfer for Cross-lingual Entity Linking ...
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9
Extending a Single-Document Summarizer to Multi-Document: a Hierarchical Approach ...
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10
Recognition of Named-Event Passages in News Articles ...
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11
Embedded MT systems, part 3 : elicitation MT
Voss, Clare (Hrsg.); Ess-Dykema, Carol van (Hrsg.); Probst, Katharina (Mitarb.)...
In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 17 (2002) 3, 245-319
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12
MT for Minority Languages Using Elicitation-Based Learning of Syntactic Transfer Rules
In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 17 (2002) 4, 245-270
OLC Linguistik
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13
TDT Pilot Study Corpus
Allan, James; Yang, Yiming; Carbonell, Jaime. - : Linguistic Data Consortium, 1998. : https://www.ldc.upenn.edu, 1998
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14
TDT Pilot Study Corpus ...
Abstract:

Introduction

The TDT Pilot Study corpus was created to support an initiative in "topic detection and tracking." This initiative is directed toward computer processing of language data, both text and speech. The objective is namely to explore techniques for detecting the appearance of new and unexpected topics and for tracking the reappearance and evaluation of them.

Data

The TDT corpus comprises a set of stories that includes both newswire (text) and broadcast news (speech). Each story is represented as a stream of text, in which the text is either taken directly from the newswire (Reuters) or is a manual transcription of the broadcast news speech (CNN). The corpus spans the period from July 1, 1994 to June 30, 1995. It contains approximately 16,000 stories, with about half taken from Reuters newswire and half from CNN broadcast news transcripts. An integral and key part of the corpus is the annotation of the corpus in terms of the events discussed in the stories. 25 ...
URL: https://catalog.ldc.upenn.edu/LDC98T25
https://dx.doi.org/10.35111/sxw0-5q10
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15
Machine Translation: A Knowledge-Based Approach
In: Computational linguistics. - Cambridge, Mass. : MIT Press 19 (1993) 1, 207
OLC Linguistik
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16
FERMI : a flexible expert reasoner with multi-domain inferencing
In: Cognitive science. - Hoboken, NJ : Wiley-Blackwell 12 (1988) 1, 101-138
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