The NLP systems often have low performances because they rely on unreliable and heterogeneous knowledge. We show on the task of non-anaphoric it identification how to overcome the...
The tagging problem in natural language processing is to find a way to label every word in a text as a particular part of speech, e.g., proper noun. An effective way of solving th...
To simulate adaptive agents with abilities matching those of their real-world counterparts, a natural approach is to incorporate adaptation mechanisms such as classical conditioni...
We describe a method for discovering irregularities in temporal mood patterns appearing in a large corpus of blog posts, and labeling them with a natural language explanation. Sim...
While speaking spontaneously, speakers often make errors such as self-correction or false starts which interfere with the successful application of natural language processing tec...