Remove 2011 Remove Computational Linguistics Remove Natural Language Processing
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Testing the Robustness of LSTM-Based Sentiment Analysis Models

John Snow Labs

Sentiment analysis, a branch of natural language processing (NLP), has evolved as an effective method for determining the underlying attitudes, emotions, and views represented in textual information. The 49th Annual Meeting of the Association for Computational Linguistics (ACL 2011). abs/2005.03993 Andrew L.

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The State of Multilingual AI

Sebastian Ruder

Developing models that work for more languages is important in order to offset the existing language divide and to ensure that speakers of non-English languages are not left behind, among many other reasons. Around 400 languages have more than 1M speakers and around 1,200 languages have more than 100k [1].

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Parsing English in 500 Lines of Python

Explosion

Natural languages introduce many unexpected ambiguities, which our world-knowledge immediately filters out. ACL 2011 The dynamic oracle training method was first described here: A Dynamic Oracle for Arc-Eager Dependency Parsing. Syntactic Processing Using the Generalized Perceptron and Beam Search.

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Multi-domain Multilingual Question Answering

Sebastian Ruder

2011 ), many referents have no language-specific terms in some languages, e.g. bowling ball, hamburger, lottery ( Ponti et al., In the tutorial, we focus on two main categories of question answering studied in the literature: open-retrieval question answering (ORQA) and reading comprehension (RC). In COPA ( Roemmele et al.,

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