| W06-2201 | expressing functional relations in a | factoid question answering | setting . Selection of the extracted |
| D14-1070 | classification methods for tasks like | factoid question answering | typically use manually defined |
| D14-1159 | approaches suggested in the past for | factoid question answering | ( Moldovan et al. , 2003 ) . |
| N04-1007 | question answering . Standard | factoid question answering | technology , designed to extract |
| P06-2068 | language processing capabilities , | factoid question answering | systems are able to pinpoint |
| E12-1010 | presented and evaluated in a classical | factoid Question Answering | ( QA ) setting . The main reason |
| P15-1162 | document-level sentiment analysis and | factoid question answering | tasks . The DAN architecture |
| D14-1070 | dependency-tree recursive neural network for | factoid question answering | that outperforms bag of words |
| W03-1209 | data . 1 Introduction Open-Domain | factoid Question Answering | ( QA ) is defined as the task |
| D14-1070 | 6.2 Factoid Question-Answering | Factoid question answering | is often functionally equivalent |
| W06-1907 | <title> Monolingual Web-based | Factoid Question Answering | in Swedish , English and Japanese |
| P15-1162 | models on sentiment analysis and | factoid question answering | tasks while taking only a fraction |
| N06-4000 | humancomputer interaction . <title> | Factoid Question Answering | with Web , Mobile and Speech |
| P14-1133 | suitable for scenarios such as | factoid question answering | , where the space of logical |
| D14-1070 | . <title> A Neural Network for | Factoid Question Answering | over Paragraphs </title> Jordan |
| P15-1162 | processor with 8GB of RAM . 4.2 | Factoid Question Answering | DANs work well for sentiment |
| P15-1121 | in - stance , in their work on | factoid question answering | using recursive neural networks |
| H05-1039 | al. , 2004 ) . One success in | factoid question answering | is pattern based systems , either |
| N04-1007 | to be an effective strategy for | factoid question answering | ( Soubbotin and Soubbotin , 2001 |
| W06-0704 | representations contrast with TRECstyle | factoid question answering | , which is primarily driven by |
