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Authors: nan

Publication: TIPSTER (2002)

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We present a bootstrapping method that uses strong syntactic heuristics to learn semantic lexicons. The three sources of information are appositives, compound nouns, and ISA clauses. We apply heuris- tics …...

43197

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Authors: nan

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. In this paper, we focus on the task of distilling relation instances from the Web. Most of the approaches for this task were based on provided seed instances or …...

18795

High-Accuracy Phrase Translation Acquisition Through Battle-Royale Selection

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Publication: TIPSTER (2013)

DOI: nan

In this paper, we report on an unsupervised greedy-style process for acquiring phrase translations from sentence-aligned paral- lel corpora. Thanks to innovative selection strategies, this process can acquire multi- ple …...

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Recognizing Rare Social Phenomena in Conversation: Empowerment Detection in Support Group Chatrooms

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Automated annotation of social behavior in conversation is necessary for large-scale analysis of real-world conversational data. Important behavioral categories, though, are often sparse and often appear only in specific subsections …...

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Semantic Frames and Visual Scenes: Learning Semantic Role Inventories from Image and Video Descriptions

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AbstractFrame-semantic parsing and semantic role labelling, that aim to automatically assign semantic roles to arguments of verbs in a sentence, have become an active strand of research in NLP. However, …...

25859

Generalizing Unmasking for Short Texts

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AbstractAuthorship verification is the problem of inferring whether two texts were written by the same author. For this task, unmasking is one of the most robust approaches as of today …...

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ToTTo: A Controlled Table-To-Text Generation Dataset

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AbstractWe present ToTTo, an open-domain English table-to-text dataset with over 120,000 training examples that proposes a controlled generation task: given a Wikipedia table and a set of highlighted table cells, …...

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