Baseline Accuracy

This paper describes two distinct attempts at the SENSEVAL-2 Japanese translation task. The first im- plementation is based on lexical similarity and builds on the results of Baldwin (2001b; 2001a), …...

In this paper, we investigate a full-fledged supervised machine learning framework for identifying English phrasal verbs in a given context. We concentrate on those that we de- fine as the …...

Human engagement in narrative is partially driven by reasoning about discourse relations between narrative events, and the expectations about what is likely to happen next that results from such reasoning. …...

In this work, we build an entity/event-level sentiment analysis system, which is able to recognize and infer both explicit and im- plicit sentiments toward entities and events in the text. …...

Cooking recipes exist in abundance; but due to their unstructured text format, they are hard to study quantitatively beyond treating them as simple bags of words. In this paper, we …...

AbstractThis paper discusses the approach taken by the UWaterloo team to arrive at a solution for the Fine-Grained Sentiment Analysis problem posed by Task 5 of SemEval 2017. The paper …...

AbstractSince the popularization of the Transformer as a general-purpose feature encoder for NLP, many studies have attempted to decode linguistic structure from its novel multi-head attention mechanism. However, much of …...

AbstractA key limitation in current datasets for multi-hop reasoning is that the required steps for answering the question are mentioned in it explicitly. In this work, we introduce StrategyQA, a …...