Механизм управления

method ID: gatingmechanism

Related Papers

Gated Word-Character Recurrent Language Model

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

We introduce a recurrent neural network lan- guage model (RNN-LM) with long short- term memory (LSTM) units that utilizes both character-level and word-level inputs. Our model has a gate that …...

33517

Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractSentences in a well-formed text are connected to each other via various links to form the cohesive structure of the text. Current neural machine translation (NMT) systems translate a text …...

5464

Cross-Sentence Grammatical Error Correction

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractAutomatic grammatical error correction (GEC) research has made remarkable progress in the past decade. However, all existing approaches to GEC correct errors by considering a single sentence alone and ignoring …...

39916

Deep Contextualized Self-training for Low Resource Dependency Parsing

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractNeural dependency parsing has proven very effective, achieving state-of-the-art results on numerous domains and languages. Unfortunately, it requires large amounts of labeled data, which is costly and laborious to create. …...

26685

A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractIn Text-to-SQL semantic parsing, selecting the correct entities (tables and columns) for the generated SQL query is both crucial and challenging; the parser is required to connect the natural language …...

4098

Removing Word-Level Spurious Alignment between Images and Pseudo-Captions in Unsupervised Image Captioning

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractUnsupervised image captioning is a challenging task that aims at generating captions without the supervision of image-sentence pairs, but only with images and sentences drawn from different sources and object …...

42498

Knowledgeable Parameter Efficient Tuning Network for Commonsense Question Answering

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Publication: TIPSTER (2023)

DOI: nan

AbstractCommonsense question answering is important for making decisions about everyday matters. Although existing commonsense question answering works based on fully fine-tuned PLMs have achieved promising results, they suffer from prohibitive …...

38295