Transformer-XL: Attentive Language Models beyond a Fixed ...

⌧+1= Transformer-Layer(q n,kn ⌧+1,v n). where the function SG(·) stands for stop-gradient, the notation [hu hv] indicates the concatenation of two hidden sequences along the length dimen-sion, and W· denotes model parameters. Com-pared to the standard Transformer, the critical dif-ference lies in that the key kn ⌧+1 and value v n ⌧+1

  Transformers

Improving Multimodal Named Entity Recognition via Entity ...

with cross-modal attention mechanism to produce an image-aware word representation and a word-aware visual representation for each input word, respectively. Finally, to largely eliminate the bias of the visual context, we propose to leverage text-based entity span detection as an auxiliary task, and design a unified neural architecture based on

  Span, Attention

Entity, Relation, and Event Extraction with Contextualized ...

Span enumeration Event propagation Coreference Auxiliary Sentence Sentence É É Sentence Figure 1: Overview of our framework: DYGIE++. Shared span representations are constructed by refin-ing contextualized word embeddings via span graph updates, then passed to scoring functions for three IE tasks. Mitchell,2016;Li and Ji,2014) and neural scor-

  Span

CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset ...

Sentiment analysis is an important research area in Natural Language Processing (NLP). It has wide applications for other NLP tasks, such as opinion mining, dialogue generation, and user behavior analysis. Previous study (Pang et al.,2008;Liu and Zhang,2012) mainly focused on text sentiment analysis and achieved impressive results. However,

  Analysis, Sentiment, Sentiment analysis

Recurrent Attention Network on Memory for Aspect …

tic analysis (Socher et al.,2010) and sentence sen-timent analysis (Socher et al.,2013). (Dong et al., 2014;Nguyen and Shirai,2015) adopted Rec-NN for aspect sentiment classication, by converting the opinion target as the tree root and propagating the sentiment of targets depending on the context and syntactic relationships between them. How-

  Analysis, Sentiment, Mitten, Sen timent analysis

A Joint Neural Model for Information Extraction with ...

Entity Extraction aims to identify entity men-tions in text and classify them into pre-defined en-tity types. A mention can be a name, nominal, or pronoun. For example, “Kashmir region” should be recognized as a location (LOC) named entity mention in Figure2. Relation Extraction is the task of assigning a

  Information, Model, Texts, Extraction, Neural, Neural model for information extraction

Exploring Pre-trained Language Models for Event Extraction ...

3 Extraction Model This section describes our approach to extract events that occur in plain text. We consider event extraction as a two-stage task, which includes trig-ger extraction and argument extraction, and pro-pose a Pre-trained Language Model based Event Extractor (PLMEE). Figure3illustrates the archi-tecture of PLMEE.

  Texts, Extraction

BLEU: a Method for Automatic Evaluation of Machine …

tor and a standard (poor) machine translation system using 4 reference translations for each of 127 source sentences. The average precision results are shown in Figure 1. Figure 1: Distinguishing Human from Machine ˘ ˇ ˆ The strong signal differentiating human (high pre-cision) from machine (low precision) is striking.

  Machine, Blue, Precision, Cisions, Pre cision

Dual Graph Convolutional Networks for Aspect-based ...

Aspect-based sentiment analysis is a fine-grained sentiment classification task. Re-cently, graph neural networks over depen-dency trees have been explored to explicitly model connections between aspects and opin-ion words. However, the improvement is lim-ited due to the inaccuracy of the dependency parsing results and the informal expressions

  Analysis, Sentiment, Sentiment analysis

Learning Implicit Sentiment in Aspect-based Sentiment ...

Aspect-based sentiment analysis aims to iden-tify the sentiment polarity of a specific aspect in product reviews. We notice that about 30% of reviews do not contain obvious opinion words, but still convey clear human-aware sen-timent orientation, which is known as implicit sentiment. However, recent neural network-

  Analysis, Sentiment, Mitten, Sentiment analysis, Sen timent

REFERENCE LETTERS

REFERENCE LETTERS These slides provide important information about the purpose of reference letters, the differences in the types of reference letters,

Sociolinguistics and Formal Linguistics - Gregory R Guy

formal linguistics has begun to recognize the need for a sounder empirical basis, and to seek broader empirical testing of theory, which can only be achieved in the messy world of language use. Sociolinguistic studies thus provide a proving ground for theory that is unavailable in the intro-

  Formal, Linguistic, Sociolinguistic, Formal linguistics

Generative Grammar - The Department of Linguistics

of linguistics. This book is about one aspect of how language works: how sentences are structured, or the study of syntax. Language is a psychological or cognitive property of humans. That is, there is some set of neurons in my head firing madly away that allows me to sit here and produce this set of letters, and there is some other set of neurons

  Linguistic

Relevance Theory - University College London

quantitative notions of relevance might be worth exploring from a formal point of view5, it is the comparative rather than the quantitative notion that is likely to provide the best starting point for constructing a psychologically plausible theory. Relevance. Deirdre Wilson & Dan Sperber . Relevance Theory -. Deirdre Wilson & Dan Sperber

  Theory, Formal, Relevance, Relevance theory

Synchronic vs. Diachronic Explanation and the Nature of ...

Calling the linguistics of the period “descriptive” should be taken quite literally: the aim of the field was to develop complete and accurate descriptions of ... autosegmental structure involves an appeal to formal universals, while the claim that the labiality of a nasal segment can assimilate to the labiality of a following obstruent ...

  Formal, Linguistic, Synchronic, Diachronic

The Use of Anime in Teaching Japanese as a Foreign ... - ed

Linguistics, University of Malaya Jalan Universiti, 50603 Kuala Lumpur, Malaysia. Tel: +6013-9633329 yeehan1985@yahoo.com [2] Faculty of Languages and Linguistics, University of Malaya Jalan Universiti, 50603 Kuala Lumpur, Malaysia. Tel: +603-79673115 nlwong@um.edu.my

  Linguistic

EBNF: A Notation to Describe Syntax - Donald Bren School ...

and linguistics under the topics of formal language and automata theory. 1.3 EBNF Rules and Descriptions An EBNF description is an unordered list of EBNF rules. Each EBNF rule EBNF descriptions comprises a list of EBNF rules of the form: LHS (RHS has three parts: a left{hand side (LHS), a right-hand side (RHS), and the

  Formal, Linguistic, Describe, Notation, Syntax, Ebnf, A notation to describe syntax