Neural Encoder-Decoder

Neural encoder-decoder models have shown great success in many sequence generation tasks. However, previous work has not in- vestigated situations in which we would like to control the length of …...

Neural encoder-decoder models of machine translation have achieved impressive results, rivalling traditional translation models. How- ever their modelling formulation is overly simplistic, and omits several key inductive bi- ases built …...

Morphological inflection generation is the task of generating the inflected form of a given lemma corresponding to a particular linguis- tic transformation. We model the problem of inflection generation as …...

AbstractWe present a novel cross-lingual transfer method for paradigm completion, the task of mapping a lemma to its inflected forms, using a neural encoder-decoder model, the state of the art …...

AbstractWe propose simple and flexible training and decoding methods for influencing output style and topic in neural encoder-decoder based language generation. This capability is desirable in a variety of applications, …...

AbstractWe address the task of joint training of transliteration models for multiple language pairs (multilingual transliteration). This is an instance of multitask learning, where individual tasks (language pairs) benefit from …...

AbstractThere is no consensus on the state-of-the-art approach to historical text normalization. Many techniques have been proposed, including rule-based methods, distance metrics, character-based statistical machine translation, and neural encoder–decoder models, …...

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 …...

AbstractThis paper focuses on how to extract multiple relational facts from unstructured text. Neural encoder-decoder models have provided a viable new approach for jointly extracting relations and entity pairs. However, …...

AbstractWe study relation extraction for knowledge base (KB) enrichment. Specifically, we aim to extract entities and their relationships from sentences in the form of triples and map the elements of …...

AbstractCode comments are critical for maintaining and comprehending software programs, but they are often missing, mismatched, or outdated in practice. Code comment generation task aims to automatically produce descriptive comments …...