Zobrazeno 1 - 10
of 242
pro vyhledávání: '"Erk, Katrin"'
Interpreting and assessing goal driven actions is vital to understanding and reasoning over complex events. It is important to be able to acquire the knowledge needed for this understanding, though doing so is challenging. We argue that such knowledg
Externí odkaz:
http://arxiv.org/abs/2408.05793
Autor:
Erk, Katrin, Apidianaki, Marianna
Embedding spaces contain interpretable dimensions indicating gender, formality in style, or even object properties. This has been observed multiple times. Such interpretable dimensions are becoming valuable tools in different areas of study, from soc
Externí odkaz:
http://arxiv.org/abs/2404.02619
Understanding when two pieces of text convey the same information is a goal touching many subproblems in NLP, including textual entailment and fact-checking. This problem becomes more complex when those two pieces of text are in different languages.
Externí odkaz:
http://arxiv.org/abs/2309.08873
We study semantic construal in grammatical constructions using large language models. First, we project contextual word embeddings into three interpretable semantic spaces, each defined by a different set of psycholinguistic feature norms. We validat
Externí odkaz:
http://arxiv.org/abs/2305.18598
Knowledge about outcomes is critical for complex event understanding but is hard to acquire. We show that by pre-identifying a participant in a complex event, crowd workers are able to (1) infer the collective impact of salient events that make up th
Externí odkaz:
http://arxiv.org/abs/2212.02629
Autor:
Kovatchev, Venelin, Chatterjee, Trina, Govindarajan, Venkata S, Chen, Jifan, Choi, Eunsol, Chronis, Gabriella, Das, Anubrata, Erk, Katrin, Lease, Matthew, Li, Junyi Jessy, Wu, Yating, Mahowald, Kyle
Developing methods to adversarially challenge NLP systems is a promising avenue for improving both model performance and interpretability. Here, we describe the approach of the team "longhorns" on Task 1 of the The First Workshop on Dynamic Adversari
Externí odkaz:
http://arxiv.org/abs/2206.14729
Discourse signals are often implicit, leaving it up to the interpreter to draw the required inferences. At the same time, discourse is embedded in a social context, meaning that interpreters apply their own assumptions and beliefs when resolving thes
Externí odkaz:
http://arxiv.org/abs/2104.04470
Autor:
Govindarajan, Venkata Subrahmanyan, Chen, Benjamin T, Warholic, Rebecca, Erk, Katrin, Li, Junyi Jessy
Humans use language to accomplish a wide variety of tasks - asking for and giving advice being one of them. In online advice forums, advice is mixed in with non-advice, like emotional support, and is sometimes stated explicitly, sometimes implicitly.
Externí odkaz:
http://arxiv.org/abs/2010.02494
Autor:
Erk, Katrin, Herbelot, Aurelie
In this paper, we derive a notion of 'word meaning in context' that characterizes meaning as both intensional and conceptual. We introduce a framework for specifying local as well as global constraints on word meaning in context, together with their
Externí odkaz:
http://arxiv.org/abs/2009.07936
We propose a method for controlled narrative/story generation where we are able to guide the model to produce coherent narratives with user-specified target endings by interpolation: for example, we are told that Jim went hiking and at the end Jim ne
Externí odkaz:
http://arxiv.org/abs/2008.07466