Combinatory Categorial Grammar (CCG) is a lexicalized grammar formalism in which words are associated with categories that, in combination with a small universal set of rules, spe...
Dan Garrette, Chris Dyer, Jason Baldridge, Noah A....
Analogies are a fundamental human reasoning pattern that relies on relational similarity. Understanding how analogies are formed facilitates the transfer of knowledge between cont...
We provide a logical representation of Pearl’s structural causal models in the framework of the causal calculus of McCain and Turner (1997) and its first-order generalization b...
In many cases, creating long-term solutions to sustainability issues requires not only innovative technology, but also largescale public adoption of the proposed solutions. Social...
Rahmatollah Beheshti, Awrad Mohammed Ali, Gita Ree...
Link prediction and multi-label learning on graphs are two important but challenging machine learning problems that have broad applications in diverse fields. Not only are the tw...
We present a probabilistic framework for learning pairwise similarities between objects belonging to different modalities, such as drugs and proteins, or text and images. Our fram...
Image tweets are becoming a prevalent form of social media, but little is known about their content – textual and visual – and the relationship between the two mediums. Our an...
Tao Chen, Hany M. SalahEldeen, Xiangnan He, Min-Ye...
The modern web critically depends on aggregation of information from self-interested agents, for example opinion polls, product ratings, or crowdsourcing. We consider a setting wh...
Typically a user prefers an item (e.g., a movie) because she likes certain features of the item (e.g., director, genre, producer). This observation motivates us to consider a feat...
Chenyi Zhang, Ke Wang, Ee-Peng Lim, Qinneng Xu, Ji...