Нейронная сеть последовательности в последовательность

method ID: neuralsequencetosequence

Related Papers

Neural Lattice-to-Sequence Models for Uncertain Inputs

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractThe input to a neural sequence-to-sequence model is often determined by an up-stream system, e.g. a word segmenter, part of speech tagger, or speech recognizer. These up-stream models are potentially …...

32943

Ordinal Common-sense Inference

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractHumans have the capacity to draw common-sense inferences from natural language: various things that are likely but not certain to hold based on established discourse, and are rarely stated explicitly. …...

27243

Exact Hard Monotonic Attention for Character-Level Transduction

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractMany common character-level, string-to-string transduction tasks, e.g., grapheme-to-phoneme conversion and morphological inflection, consist almost exclusively of monotonic transduction. Neural sequence-to-sequence models with soft attention, non-monotonic models, outperform popular monotonic models. …...

39812

DRTS Parsing with Structure-Aware Encoding and Decoding

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractDiscourse representation tree structure (DRTS) parsing is a novel semantic parsing task which has been concerned most recently. State-of-the-art performance can be achieved by a neural sequence-to-sequence model, treating the …...

37364

Paraphrase Generation by Learning How to Edit from Samples

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractNeural sequence to sequence text generation has been proved to be a viable approach to paraphrase generation. Despite promising results, paraphrases generated by these models mostly suffer from lack of …...

37435