반응형 분류 전체보기599 [2022-09-29] 오늘의 자연어처리 Sentiment is all you need to win US Presidential elections Election speeches play an integral role in communicating the vision and mission of the candidates. From lofty promises to mud-slinging, the electoral candidate accounts for all. However, there remains an open question about what exactly wins over the voters. In this work, we used state-of-the-art natural language processing methods to st.. 2022. 9. 29. [2022-09-28] 오늘의 자연어처리 Word to Sentence Visual Semantic Similarity for Caption Generation: Lessons Learned This paper focuses on enhancing the captions generated by image-caption generation systems. We propose an approach for improving caption generation systems by choosing the most closely related output to the image rather than the most likely output produced by the model. Our model revises the language generation o.. 2022. 9. 28. [2022-09-27] 오늘의 자연어처리 Approaching English-Polish Machine Translation Quality Assessment with Neural-based Methods This paper presents our contribution to the PolEval 2021 Task 2: Evaluation of translation quality assessment metrics. We describe experiments with pre-trained language models and state-of-the-art frameworks for translation quality assessment in both nonblind and blind versions of the task. Our solutions .. 2022. 9. 27. [2022-09-26] 오늘의 자연어처리 Learning to Write with Coherence From Negative Examples Coherence is one of the critical factors that determine the quality of writing. We propose writing relevance (WR) training method for neural encoder-decoder natural language generation (NLG) models which improves coherence of the continuation by leveraging negative examples. WR loss regresses the vector representation of the context and gen.. 2022. 9. 26. 이전 1 ··· 123 124 125 126 127 128 129 ··· 150 다음 반응형