Graph-Based Method

In this paper we propose a new graph- based method that uses the knowledge in a LKB (based on WordNet) in order to perform unsupervised Word Sense Disam- biguation. Our …...

AbstractThe Internet is an ever growing source of information stored in documents of different languages. Hence, cross-lingual resources are needed for more and more NLP applications. This paper presents (i) …...

This paper presents an unsupervised graph-based method for automatic word sense induction and disambiguation. The innovative part of our method is the as- signment of either a word or a …...

This paper presents a pilot study of opinion summarization on conversations. We create a corpus containing extractive and abstrac- tive summaries of speaker’s opinion towards a given topic using 88 …...

Hot trends are likely to bring new business opportunities. For example, “Air Pollution” might lead to a significant increase of the sales of related products, e.g., mouth mask. For e- …...

. In event-based Information Extraction systems, a major task is the filling from a text of a template gathering information related to a particular event. Such template filling may be …...

Recently, work in NLP was initiated on a type of opinion inference that arises when opinions are expressed toward events which have positive or negative effects on entities (+/-effect events). …...

. Keyphrases are single or multi-word expressions that represent the main content of a document. As keyphrases are useful in many applications such as document indexing or text summarization, and …...

AbstractSummarization aims to represent source documents by a shortened passage. Existing methods focus on the extraction of key information, but often neglect coherence. Hence the generated summaries suffer from a …...

AbstractMultiword Expressions (MWEs) are crucial lexico-semantic units in any language. However, most work on MWEs has been focused on standard monolingual corpora. In this work, we examine MWE usage on …...

AbstractWe present a topic-based analysis of agreement and disagreement in political manifestos, which relies on a new method for topic detection based on key concept clustering. Our approach outperforms both …...

The natural language processing subfield known as sentiment analysis or opinion mining has seen an explosive expansion over the last decade or so, and sentiment analysis has become a standard …...

AbstractWe propose a graph-based method to tackle the dependency tree linearization task. We formulate the task as a Traveling Salesman Problem (TSP), and use a biaffine attention model to calculate …...

AbstractFrame semantic parsing is a semantic analysis task based on FrameNet which has received great attention recently. The task usually involves three subtasks sequentially: (1) target identification, (2) frame classification …...

AbstractThe encoder–decoder framework achieves state-of-the-art results in keyphrase generation (KG) tasks by predicting both present keyphrases that appear in the source document and absent keyphrases that do not. However, relying …...