# Summarization of Spanish Talk Shows with Siamese Hierarchical Attention Networks
## 2 Corpora
### LN24-SUMM Corpus  
We have built a corpus for Spanish talk shows summarization--the LN24-SUMM corpus. It consists of a set of 30 document-summary pairs. Documents of this corpus are extracted from 5 talk shows of \"La Noche en 24 horas\", a program of the Spanish television (TVE). Documents have been obtained from the transcriptions of these TV programs, which have been manually segmented into pieces first from the Twitter hashtags appearing in the program videos, and second, from the interventions of the different speakers. This segmentation was made with the aim of summarize the opinion of a speaker about a given topic (hashtag). Four members of the research group generated the reference summaries. A common strategy based on paraphrasing the most representative sentences of each document was used. Consequently, the generated summaries, although they are abstractive, have very high Extractive Fragment Coverage and Density values, as it can be seen in Table 2. In this table some additional LN24-SUMM statistics are also shown.  
It is interesting to see that the Mean Compression Ratio is lower in LN24-SUMM than in ES-NEWS corpus. Also, it can be seen that LN24-SUMM corpus has a very high mean Extractive Fragment Density and Coverage in comparison to ES-NEWS corpus. The differences could be because the newspaper summaries are made by many different journalists who are qualified in compressing information and in generating more diverse kind of summaries. In addition, extracting headlines from newspaper articles is simpler than from speaker interventions of talk shows. In the case of newspaper articles there are some sentences, that mainly appear at the beginning of the article, that contain the main ideas or information of the article. However, the talk shows are conversations where the relevant information is more scattered in the speaker turns and exhibits spontaneous speech phenomena. Therefore, they are more difficult to summarize. Additionally, the LN24-SUMM documents, that is, the transcribed and manually segmented talk shows, are very heterogeneous. Two examples to see the differences between both corpus are shown in Figure 2. In this Figure it is possible to see that the LN24-SUMM summaries are composed by more scattered sentences than the summaries of ES-NEWS.  
Reference Summary (ES-NEWS)One of the best scientific minds in the world suffered from amyotrophic lateral sclerosis and lived 53 years longer than the doctors diagnosed him **(1/13)**. \"Their courage and persistence with their brilliance and their humor inspired people all over the world,\" their children say in a statement **(4/13)**.  
Reference Summary (LN24-SUMM)More than 72 h have passed since the attack on Friday **(3/28)**. The city suffered a heinous attack on several fronts, leisure centers, in football and in a concert hall **(11/28)**. Terrorists have attacked our way of life, even children are accompanied by security forces **(16/28)**. [PERSON] is going to meet in Paris with [PERSON] **(18/28)**. The five terrorists have been identified, four were French and one would have a Syrian passport **(23/28)**.  
Figure 2: Examples of summaries from ES-NEWS and LN24-SUMM corpora translated from Spanish. The position of the most related sentence in the document, for each sentence of the summary, is highlighted in bold at the end of the sentences.