Word embeddings and convolutional neural networks (CNN) have attracted extensive attention in various classification tasks for Twitter, eg sentiment classification. However, the …
We present the Berkeley Crossword Solver, a state-of-the-art approach for automatically solving crossword puzzles. Our system works by generating answer candidates for each …
C Wang, T Zhu, Z Li, J Liu - Neurocomputing, 2023 - Elsevier
The progress of the natural language understanding (NLU) community has put forward higher demands for the knowledge reserve and reasoning ability of the model. However …
Although the development of AI in games is remarkable, intelligent machines still lag behind humans in games that require the ability of language understanding. In this paper, we focus …
A Efrat, U Shaham, D Kilman, O Levy - arXiv preprint arXiv:2103.01242, 2021 - arxiv.org
Current NLP datasets targeting ambiguity can be solved by a native speaker with relative ease. We present Cryptonite, a large-scale dataset based on cryptic crosswords, which is …
A Zugarini, T Rothenbacher, K Klede, M Ernandes… - CLiC-it, 2023 - ceur-ws.org
Crossword puzzles are popular word games played in various languages around the world, with diverse styles across different countries. For this reason, automated crossword solvers …
Both politicians and citizens are increasingly embracing social media as a means to disseminate information and comment on various topics, particularly during significant …
For many years now, emojis have been used in social networks and chat services in order to enrich written text with auxiliary graphical content, achieving a higher degree of empathy. In …
Crossword clues represent an extremely challenging form of Question Answering, due to their intentional ambiguity. Databases of previously answered clues are a vital source for the …